Human-Centered Artificial Intelligence, Aalborg University (Fall 2023)
Mikael Skov, dubois@cs.aau.dk
https://phdcourses.dk/Course/100411
Human-Centered Machine Learning, University of Chicago (Spring 2023)
Chenhao Tan, chenhao@uchicago.edu
https://github.com/ChicagoHAI/human-centered-machine-learning
Special Topic: Human-Centered NLP, Carnegie Mellon University (Spring 2023)
Sherry Tongshuang Wu, sherryw@cs.cmu.edu
https://www.cs.cmu.edu/~sherryw/courses/2023s-hcnlp.html
Topics in Machine Learning: Interpretability and Explainability, Harvard University (Spring 2023)
Hima Lakkaraju, hlakkaraju@hbs.edu
https://interpretable-ml-class.github.io/
Foundations of Fairness in Machine Learning, University of Washington (Winter 2022)
Jamie Morgenstern, jamiemmt@cs.washington.edu
https://courses.cs.washington.edu/courses/cse599j/22wi/
The Ethics and Governance of Artificial Intelligence, Harvard University (Fall 2022)
Jonathan L. Zittrain
https://hls.harvard.edu/courses/the-ethics-and-governance-of-artificial-intelligence/
Human-AI Interaction, University of Maryland (Fall 2022)
Hal Daumé III, hal3@umd.edu
https://docs.google.com/document/d/16T6OyQ3a8pVwo7PEksDWtP9IUMK9CJMLc2jx2NFaiVQ/edit?usp=share_link
CS 329T: Trustworthy Machine Learning, Stanford (Spring 2022)
Anupam Datta and John C. Mitchell cs329t-spr2122-staff@lists.stanford.edu
https://web.stanford.edu/class/cs329t/
EECE 571J: Trustworthy Machine Learning, The University of British Columbia (Spring 2022)
Julia Rubin, mjulia@ece.ubc.ca
https://people.ece.ubc.ca/mjulia/teaching/EECE571J-Trust-W21T2/
Interpretable Machine Learning, University of Virginia (Spring 2022)
Hanjie Chen, Yangfeng Ji, hc9mx@virginia.edu
https://uvanlp.org/iml-2022/
Human-Centred AI, The University of British Columbia (Spring 2022)
Cristina Conati, conati@cs.ubc.ca
https://www.cs.ubc.ca/~conati/522/532b-2022/532-description.html
Just Machine Learning, University of Maryland (Fall 2022)
Hal Daumé III, hal3@umd.edu
https://docs.google.com/document/d/1o4Nrw9RpFpiXKeuvKF01yzKVTmNBI_CKo3LLALoVoSM/edit?usp=sharing
Interaction with Machine Learning, Cambridge University, UK (Spring 2021)
Alan Blackwell, afb21@cam.ac.uk
https://www.cl.cam.ac.uk/teaching/2021/P230/
Human-AI Interaction, Williams College (Spring 2021)
Iris Howley, ikh1@williams.edu
https://sites.google.com/williams.edu/haiiteaching/home
Fairness, Accountability, and Transparency in Natural Language Processing, UCLA (Winter 2020)
Kai-Wei Chang, kw@kwchang.net
https://uclanlp.github.io/CS269-Winter2020/index.html
Designing Machine Learning, Stanford d.school course (Winter 2020)
Michelle Carney
https://dschool.stanford.edu/classes/designing-machine-learning
Course website and resources: https://docs.google.com/presentation/d/11aklTn8K756abz01J0JDjc59BnYsR6yQ4ywF2s5jmK0/edit#slide=id.p
Designing Artificial Intelligence: for the Long-term, Carnegie Mellon University (Fall 2020)
Chinmay Kulkarni, chinmayk@cs.cmu.edu
Human-AI Interaction: CS279R Research Topics in HCI, Harvard University (Fall 2020)
Elena L. Glassman, glassman@seas.harvard.edu
https://docs.google.com/document/d/1tR7G1ghLYpcqFj3v_E3CEBTAINIJuMTOumR1CCfykoo/edit
Human-AI Interaction: CS6724: Advanced Topics in Human-Computer Interaction, Virginia Tech (Spring 2020)
Kurt Luther, kluther@vt.edu
https://wordpress.cs.vt.edu/cs6724s20/readings/
Visualization: Connections with Machine Learning, NYU Tandon School (Spring 2020)
Claudio Silva, csilva@nyu.edu
https://lukexuke.github.io/course/vaml/index.html
Human-Centred AI, University of British Columbia (Fall 2019)
Cristina Conati, conati@cs.ubc.ca
https://www.cs.ubc.ca/~conati/522/532b-2019/532-description.html
https://www.cs.ubc.ca/~conati/522/532b-2019/readings-Fall2019.html (Reading list)
Human-AI Interaction, Carnegie Mellon University (Fall 2019)
Chinmay Kulkarni, chinmayk@cs.cmu.edu but was first taught by Jeff Bigham (Fall 2018) jbigham@cs.cmu.edu
http://www.humanaiclass.org/
Design of AI Products and Services, Carnegie Mellon University, HCI Institute (Spring 2019)
John Zimmerman, johnz@andrew.cmu.edu
https://hcii.cmu.edu/courses/design-ai-products-and-services
HCI for Machine Learning, University of Illinois at Urbana-Champaign (Fall 2019)
Ranjitha Kumar, ranjitha@illinois.edu
https://courses.engr.illinois.edu/cs598rk/fa2019/
Visual Analytics & Machine Learning, Vanderbilt University (Spring 2019)
Matthew Berger, matthew.berger@vanderbilt.edu
https://matthewberger.github.io/teaching/vaml/spring2019/syllabus/
Social Robotics, Vrije Universiteit Amsterdam and Hong Kong Polytechnic (since 2017)
Johan F. Hoorn, johan.f.hoorn@polyu.edu.hk
(no website, syllabus on request)
Swansea University (Wales, UK) has the EPIC Centre for Doctoral Training in Human-Centred Big Data and Intelligence-Driven Systems, and a Masters of Science in Human-Centred Big Data and Artificial Intelligence
(organized by Matt Jones, Alan Dix, and Simon Robinson)
Human-Centred Big Data and Artificial Intelligence, MSc
http://people-first.best/ and https://www.swansea.ac.uk/postgraduate/taught/science/computer-science/msc-human-centred-big-data-and-ai/
Bristol University, UK, Centre for Doctoral Training in Interactive AI, (1-year masters course followed by a 3-year PhD)
Kacper Sokol, ks1591@my.bristol.ac.uk
https://www.bristol.ac.uk/study/postgraduate/2021/doctoral/phd-interactive-artificial-intelligence/